The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters
- Autores
- Bassini, L.; Rasia, E.; Borgani, S.; Granato, Luisa Graciana; Ragone Figueroa, Cinthia Judith; Biffi, V.; Ragagnin, A.; Dolag, K.; Lin, W.; Murante, G.; Napolitano, N.R.; Taffoni, G.; Tornatore, Marisa Alejandra; Wang, Y.
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- We studied the star formation rate (SFR) in cosmological hydrodynamical simulations of galaxy (proto-)clusters in the redshift range 0 < z < 4, comparing them to recent observational studies; we also investigated the effect of varying the parameters of the star formation model on galaxy properties such as SFR, star-formation efficiency, and gas fraction. Methods. We analyse a set of zoom-in cosmological hydrodynamical simulations centred on 12 clusters. The simulations are carried out with the GADGET-3 Tree-PM smoothed-particle hydro-dynamics code which includes various subgrid models to treat unresolved baryonic physics, including AGN feedback. Results. Simulations do not reproduce the high values of SFR observed within protocluster cores, where the values of SFR are underpredicted by a factor ∼4 both at z ∼ 2 and z ∼ 4. The difference arises as simulations are unable to reproduce the observed starburst population and is greater at z ∼ 2 because simulations underpredict the normalisation of the main sequence (MS) of star forming galaxies (i.e. the correlation between stellar mass and SFR) by a factor of ∼3. As the low normalisation of the MS seems to be driven by an underestimated gas fraction, it remains unclear whether numerical simulations miss starburst galaxies due to overly underpredicted gas fractions or overly low star formation efficiencies. Our results are stable against varying several parameters of the star formation subgrid model and do not depend on the details of AGN feedback. Conclusions. The subgrid model for star formation, introduced to reproduce the self-regulated evolution of quiescent galaxies, is not suitable to describe violent events like high-redshift starbursts. We find that this conclusion holds, independently of the parameter choice for the star formation and AGN models. The increasing number of multi-wavelength high-redshift observations will help to improve the current star formation model, which is needed to fully recover the observed star formation history of galaxy clusters.
Fil: Bassini, L.. Osservatorio Astronomico Di Trieste; Italia. Università degli Studi di Trieste; Italia. Institute For Fundamental Physics Of The Universe; Italia
Fil: Rasia, E.. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; Italia
Fil: Borgani, S.. Istituto Nazionale Di Fisica Nucleare, Sezione Di Trieste; Italia. Università degli Studi di Trieste; Italia. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; Italia
Fil: Granato, Luisa Graciana. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Fil: Ragone Figueroa, Cinthia Judith. Osservatorio Astronomico Di Trieste; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Fil: Biffi, V.. Institute For Fundamental Physics Of The Universe; Italia. Ludwig Maximilians Universitat; Alemania
Fil: Ragagnin, A.. Osservatorio Astronomico Di Trieste; Italia
Fil: Dolag, K.. Ludwig Maximilians Universitat; Alemania
Fil: Lin, W.. Sun Yat-sen University; China
Fil: Murante, G.. Osservatorio Astronomico Di Trieste; Italia
Fil: Napolitano, N.R.. Sun Yat-sen University; China
Fil: Taffoni, G.. Osservatorio Astronomico Di Trieste; Italia
Fil: Tornatore, Marisa Alejandra. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; Italia
Fil: Wang, Y.. Sun Yat-sen University; China - Materia
-
GALAXIES: CLUSTERS: GENERAL
GALAXIES: STAR FORMATION
GALAXIES: STARBURST
HYDRODYNAMICS
METHODS: NUMERICAL - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/130373
Ver los metadatos del registro completo
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The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclustersBassini, L.Rasia, E.Borgani, S.Granato, Luisa GracianaRagone Figueroa, Cinthia JudithBiffi, V.Ragagnin, A.Dolag, K.Lin, W.Murante, G.Napolitano, N.R.Taffoni, G.Tornatore, Marisa AlejandraWang, Y.GALAXIES: CLUSTERS: GENERALGALAXIES: STAR FORMATIONGALAXIES: STARBURSTHYDRODYNAMICSMETHODS: NUMERICALhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1We studied the star formation rate (SFR) in cosmological hydrodynamical simulations of galaxy (proto-)clusters in the redshift range 0 < z < 4, comparing them to recent observational studies; we also investigated the effect of varying the parameters of the star formation model on galaxy properties such as SFR, star-formation efficiency, and gas fraction. Methods. We analyse a set of zoom-in cosmological hydrodynamical simulations centred on 12 clusters. The simulations are carried out with the GADGET-3 Tree-PM smoothed-particle hydro-dynamics code which includes various subgrid models to treat unresolved baryonic physics, including AGN feedback. Results. Simulations do not reproduce the high values of SFR observed within protocluster cores, where the values of SFR are underpredicted by a factor ∼4 both at z ∼ 2 and z ∼ 4. The difference arises as simulations are unable to reproduce the observed starburst population and is greater at z ∼ 2 because simulations underpredict the normalisation of the main sequence (MS) of star forming galaxies (i.e. the correlation between stellar mass and SFR) by a factor of ∼3. As the low normalisation of the MS seems to be driven by an underestimated gas fraction, it remains unclear whether numerical simulations miss starburst galaxies due to overly underpredicted gas fractions or overly low star formation efficiencies. Our results are stable against varying several parameters of the star formation subgrid model and do not depend on the details of AGN feedback. Conclusions. The subgrid model for star formation, introduced to reproduce the self-regulated evolution of quiescent galaxies, is not suitable to describe violent events like high-redshift starbursts. We find that this conclusion holds, independently of the parameter choice for the star formation and AGN models. The increasing number of multi-wavelength high-redshift observations will help to improve the current star formation model, which is needed to fully recover the observed star formation history of galaxy clusters.Fil: Bassini, L.. Osservatorio Astronomico Di Trieste; Italia. Università degli Studi di Trieste; Italia. Institute For Fundamental Physics Of The Universe; ItaliaFil: Rasia, E.. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; ItaliaFil: Borgani, S.. Istituto Nazionale Di Fisica Nucleare, Sezione Di Trieste; Italia. Università degli Studi di Trieste; Italia. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; ItaliaFil: Granato, Luisa Graciana. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: Ragone Figueroa, Cinthia Judith. Osservatorio Astronomico Di Trieste; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: Biffi, V.. Institute For Fundamental Physics Of The Universe; Italia. Ludwig Maximilians Universitat; AlemaniaFil: Ragagnin, A.. Osservatorio Astronomico Di Trieste; ItaliaFil: Dolag, K.. Ludwig Maximilians Universitat; AlemaniaFil: Lin, W.. Sun Yat-sen University; ChinaFil: Murante, G.. Osservatorio Astronomico Di Trieste; ItaliaFil: Napolitano, N.R.. Sun Yat-sen University; ChinaFil: Taffoni, G.. Osservatorio Astronomico Di Trieste; ItaliaFil: Tornatore, Marisa Alejandra. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; ItaliaFil: Wang, Y.. Sun Yat-sen University; ChinaEDP Sciences2020-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/130373Bassini, L.; Rasia, E.; Borgani, S.; Granato, Luisa Graciana; Ragone Figueroa, Cinthia Judith; et al.; The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters; EDP Sciences; Astronomy and Astrophysics; 642; A37; 10-2020; 1-190004-6361CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1051/0004-6361/202038396info:eu-repo/semantics/altIdentifier/url/https://ui.adsabs.harvard.edu/abs/2020A%26A...642A..37B/abstractinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-26T08:57:40Zoai:ri.conicet.gov.ar:11336/130373instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-11-26 08:57:40.648CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters |
| title |
The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters |
| spellingShingle |
The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters Bassini, L. GALAXIES: CLUSTERS: GENERAL GALAXIES: STAR FORMATION GALAXIES: STARBURST HYDRODYNAMICS METHODS: NUMERICAL |
| title_short |
The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters |
| title_full |
The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters |
| title_fullStr |
The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters |
| title_full_unstemmed |
The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters |
| title_sort |
The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters |
| dc.creator.none.fl_str_mv |
Bassini, L. Rasia, E. Borgani, S. Granato, Luisa Graciana Ragone Figueroa, Cinthia Judith Biffi, V. Ragagnin, A. Dolag, K. Lin, W. Murante, G. Napolitano, N.R. Taffoni, G. Tornatore, Marisa Alejandra Wang, Y. |
| author |
Bassini, L. |
| author_facet |
Bassini, L. Rasia, E. Borgani, S. Granato, Luisa Graciana Ragone Figueroa, Cinthia Judith Biffi, V. Ragagnin, A. Dolag, K. Lin, W. Murante, G. Napolitano, N.R. Taffoni, G. Tornatore, Marisa Alejandra Wang, Y. |
| author_role |
author |
| author2 |
Rasia, E. Borgani, S. Granato, Luisa Graciana Ragone Figueroa, Cinthia Judith Biffi, V. Ragagnin, A. Dolag, K. Lin, W. Murante, G. Napolitano, N.R. Taffoni, G. Tornatore, Marisa Alejandra Wang, Y. |
| author2_role |
author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
GALAXIES: CLUSTERS: GENERAL GALAXIES: STAR FORMATION GALAXIES: STARBURST HYDRODYNAMICS METHODS: NUMERICAL |
| topic |
GALAXIES: CLUSTERS: GENERAL GALAXIES: STAR FORMATION GALAXIES: STARBURST HYDRODYNAMICS METHODS: NUMERICAL |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
| dc.description.none.fl_txt_mv |
We studied the star formation rate (SFR) in cosmological hydrodynamical simulations of galaxy (proto-)clusters in the redshift range 0 < z < 4, comparing them to recent observational studies; we also investigated the effect of varying the parameters of the star formation model on galaxy properties such as SFR, star-formation efficiency, and gas fraction. Methods. We analyse a set of zoom-in cosmological hydrodynamical simulations centred on 12 clusters. The simulations are carried out with the GADGET-3 Tree-PM smoothed-particle hydro-dynamics code which includes various subgrid models to treat unresolved baryonic physics, including AGN feedback. Results. Simulations do not reproduce the high values of SFR observed within protocluster cores, where the values of SFR are underpredicted by a factor ∼4 both at z ∼ 2 and z ∼ 4. The difference arises as simulations are unable to reproduce the observed starburst population and is greater at z ∼ 2 because simulations underpredict the normalisation of the main sequence (MS) of star forming galaxies (i.e. the correlation between stellar mass and SFR) by a factor of ∼3. As the low normalisation of the MS seems to be driven by an underestimated gas fraction, it remains unclear whether numerical simulations miss starburst galaxies due to overly underpredicted gas fractions or overly low star formation efficiencies. Our results are stable against varying several parameters of the star formation subgrid model and do not depend on the details of AGN feedback. Conclusions. The subgrid model for star formation, introduced to reproduce the self-regulated evolution of quiescent galaxies, is not suitable to describe violent events like high-redshift starbursts. We find that this conclusion holds, independently of the parameter choice for the star formation and AGN models. The increasing number of multi-wavelength high-redshift observations will help to improve the current star formation model, which is needed to fully recover the observed star formation history of galaxy clusters. Fil: Bassini, L.. Osservatorio Astronomico Di Trieste; Italia. Università degli Studi di Trieste; Italia. Institute For Fundamental Physics Of The Universe; Italia Fil: Rasia, E.. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; Italia Fil: Borgani, S.. Istituto Nazionale Di Fisica Nucleare, Sezione Di Trieste; Italia. Università degli Studi di Trieste; Italia. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; Italia Fil: Granato, Luisa Graciana. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina Fil: Ragone Figueroa, Cinthia Judith. Osservatorio Astronomico Di Trieste; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina Fil: Biffi, V.. Institute For Fundamental Physics Of The Universe; Italia. Ludwig Maximilians Universitat; Alemania Fil: Ragagnin, A.. Osservatorio Astronomico Di Trieste; Italia Fil: Dolag, K.. Ludwig Maximilians Universitat; Alemania Fil: Lin, W.. Sun Yat-sen University; China Fil: Murante, G.. Osservatorio Astronomico Di Trieste; Italia Fil: Napolitano, N.R.. Sun Yat-sen University; China Fil: Taffoni, G.. Osservatorio Astronomico Di Trieste; Italia Fil: Tornatore, Marisa Alejandra. Institute For Fundamental Physics Of The Universe; Italia. Osservatorio Astronomico Di Trieste; Italia Fil: Wang, Y.. Sun Yat-sen University; China |
| description |
We studied the star formation rate (SFR) in cosmological hydrodynamical simulations of galaxy (proto-)clusters in the redshift range 0 < z < 4, comparing them to recent observational studies; we also investigated the effect of varying the parameters of the star formation model on galaxy properties such as SFR, star-formation efficiency, and gas fraction. Methods. We analyse a set of zoom-in cosmological hydrodynamical simulations centred on 12 clusters. The simulations are carried out with the GADGET-3 Tree-PM smoothed-particle hydro-dynamics code which includes various subgrid models to treat unresolved baryonic physics, including AGN feedback. Results. Simulations do not reproduce the high values of SFR observed within protocluster cores, where the values of SFR are underpredicted by a factor ∼4 both at z ∼ 2 and z ∼ 4. The difference arises as simulations are unable to reproduce the observed starburst population and is greater at z ∼ 2 because simulations underpredict the normalisation of the main sequence (MS) of star forming galaxies (i.e. the correlation between stellar mass and SFR) by a factor of ∼3. As the low normalisation of the MS seems to be driven by an underestimated gas fraction, it remains unclear whether numerical simulations miss starburst galaxies due to overly underpredicted gas fractions or overly low star formation efficiencies. Our results are stable against varying several parameters of the star formation subgrid model and do not depend on the details of AGN feedback. Conclusions. The subgrid model for star formation, introduced to reproduce the self-regulated evolution of quiescent galaxies, is not suitable to describe violent events like high-redshift starbursts. We find that this conclusion holds, independently of the parameter choice for the star formation and AGN models. The increasing number of multi-wavelength high-redshift observations will help to improve the current star formation model, which is needed to fully recover the observed star formation history of galaxy clusters. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020-10 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
| status_str |
publishedVersion |
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http://hdl.handle.net/11336/130373 Bassini, L.; Rasia, E.; Borgani, S.; Granato, Luisa Graciana; Ragone Figueroa, Cinthia Judith; et al.; The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters; EDP Sciences; Astronomy and Astrophysics; 642; A37; 10-2020; 1-19 0004-6361 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/130373 |
| identifier_str_mv |
Bassini, L.; Rasia, E.; Borgani, S.; Granato, Luisa Graciana; Ragone Figueroa, Cinthia Judith; et al.; The DIANOGA simulations of galaxy clusters: Characterising star formation in protoclusters; EDP Sciences; Astronomy and Astrophysics; 642; A37; 10-2020; 1-19 0004-6361 CONICET Digital CONICET |
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eng |
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eng |
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info:eu-repo/semantics/altIdentifier/doi/10.1051/0004-6361/202038396 info:eu-repo/semantics/altIdentifier/url/https://ui.adsabs.harvard.edu/abs/2020A%26A...642A..37B/abstract |
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EDP Sciences |
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